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rohitg00 / llm-wiki.md
Last active April 17, 2026 07:24 — forked from karpathy/llm-wiki.md
LLM Wiki v2 — extending Karpathy's LLM Wiki pattern with lessons from building agentmemory

LLM Wiki v2

A pattern for building personal knowledge bases using LLMs. Extended with lessons from building agentmemory, a persistent memory engine for AI coding agents.

This builds on Andrej Karpathy's original LLM Wiki idea file. Everything in the original still applies. This document adds what we learned running the pattern in production: what breaks at scale, what's missing, and what separates a wiki that stays useful from one that rots.

What the original gets right

The core insight is correct: stop re-deriving, start compiling. RAG retrieves and forgets. A wiki accumulates and compounds. The three-layer architecture (raw sources, wiki, schema) works. The operations (ingest, query, lint) cover the basics. If you haven't read the original, start there.

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

/*
* Copyright 2026 Kyriakos Georgiopoulos
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
@chr1stophe
chr1stophe / SKILL.md
Last active April 17, 2026 07:18
Claude Code /learn skill — structured self-directed learning with spaced repetition, retrieval practice, and Feynman technique

Learn Skill

Purpose

Structured self-directed learning using a 6-phase, 14-step methodology grounded in evidence-based learning science: spaced retrieval (Roediger & Karpicke, 2006), the generation effect (Slamecka & Graf, 1978), deliberate practice (Ericsson et al., 1993), interleaving (Rohrer & Taylor, 2007), elaborative interrogation (Pressley et al., 1987), and the expertise reversal effect (Kalyuga et al., 2003). Adaptive scope calibration matches study intensity to available time and motivation.

File Structure

Each learning track lives in personal/learning/{topic-slug}/: